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Bootstrapping in non-regular smooth function models

Mihai C. Giurcanu

Journal of Multivariate Analysis, 2012, vol. 111, issue C, 78-93

Abstract: We study the large sample behavior of the standard bootstrap, the m-out-of-n bootstrap, and the oracle bootstrap (Giurcanu and Presnell, 2009) [14] percentile confidence intervals in non-regular smooth function models. We show that the oracle bootstrap percentile confidence intervals are consistent while the standard bootstrap and the m-out-of-n bootstrap confidence intervals are inconsistent. Further analysis of coverage probabilities reveals that, for large samples, the iterated oracle bootstrap percentile confidence intervals are more accurate than their non-iterated versions. We also describe the large sample local behavior of the bootstrap confidence intervals for parameter values near the points of inconsistency of the standard bootstrap. In a simulation study, we describe the finite sample local behavior of various bootstrap confidence intervals.

Keywords: Smooth function model; Non-regular estimators; Standard bootstrap; m-out-of-n bootstrap; Oracle bootstrap; Confidence intervals (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.jmva.2012.04.016

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